ubuntu 20.04, cudn10.0, cudnn v7.6, support pytorch 1.2 gpu and tensorflow 1.15 GPU, config record.

0, install nvida driver
    sudo add-apt-repository ppa:graphics-drivers/ppa
    then, open "software & updates" from "show application" and choose "additional drivers", and choose a fit driver:
    Using NVIDIA driver metapackage from nvidia-driver-440(proprietary)
    choose apply chaneges,
    then restart.

1, downgrade gcc g++, for if you do not downgrade, cuda_xxx.run wuold not be executed.
    sudo apt-get install gcc-7 g++-7

    sudo ln -s /usr/bin/gcc-7 /usr/bin/gcc
    sudo ln -s /usr/bin/g++-7 /usr/bin/g++

output:
    kai@kai:~/Downloads$ gcc --version
    gcc (Ubuntu 7.5.0-6ubuntu2) 7.5.0
    Copyright (C) 2017 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

    kai@kai:~/Downloads$ g++ --version
    g++ (Ubuntu 7.5.0-6ubuntu2) 7.5.0
    Copyright (C) 2017 Free Software Foundation, Inc.
    This is free software; see the source for copying conditions.  There is NO
    warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

2, install cuda and cudnn:
    sudo chmod a+x cuda_10.0.130_410.48_linux.run
    sudo sh cuda_10.0.130_410.48_linux.run
    
    sudo gedit ~/.bashrc
    add follow text:
    "
    export CUDA_HOME=/usr/local/cuda
    export PATH=$PATH:$CUDA_HOME/bin
    export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
    "
    source ~/.bashrc
    
    test cuda:
    cd /usr/local/cuda/samples/1_Utilities/deviceQuery
    sudo make
    ./deviceQuery
    
    output:
    deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Version = 10.0, NumDevs = 1
    Result = PASS
    
    test cuda version:
    ~/.bashrc
    
    output:
    nvcc: NVIDIA (R) Cuda compiler driver
    Copyright (c) 2005-2018 NVIDIA Corporation
    Built on Sat_Aug_25_21:08:01_CDT_2018
    Cuda compilation tools, release 10.0, V10.0.130
    
    install cudnn:
    tar -xzvf  cudnn-10.0-linux-x64-v7.6.5.32.tgz cuda/
    sudo cp cuda/include/cudnn.h /usr/local/cuda/include
    sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
    sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
    
3, install anaconda3:
    download
    https://repo.anaconda.com/archive/Anaconda3-2020.07-Linux-x86_64.sh
    bash Anaconda3-2020.07-Linux-x86_64.sh

4, install pytorch1.2, python3.7:
    conda create -n rltorch python=3.7
    conda activate rltorch
    pytorch with gpu support:
    conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=10.0 -c pytorch    #can not install by this command in china.

    get some help in follow site:
    https://pytorch.org/get-started/previous-versions/#via-pip
    https://download.pytorch.org/whl/torch_stable.html
    
    pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html

5, test pytorch
    import torch as t
    x = t.rand(5,3)
    y = t.rand(5,3)
    if t.cuda.is_available():
        x = x.cuda()
        y = y.cuda()
        print(x+y)

    output:
    ensor([[1.4095, 1.4061, 1.1705],
        [1.6440, 0.6937, 1.0405],
        [0.7109, 0.5343, 1.1778],
        [0.5223, 0.1559, 1.3047],
        [1.4479, 0.5002, 1.1370]], device='cuda:0')
    
    >>import torch    
    >>print(torch.cuda.get_device_name(0))
    GeForce RTX 2060

6, install gym, mujoco

    To be continued...